accepted.md

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accepted papers

• LoRA-Mini: Adaptation Matrices Decomposition and Selective Training
  Ayush Singh, Rajdeep Aher, Shivank Garg
• VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
  Yang Li, Shaobo Han, Shihao Ji
• Non-negative Tensor Low-rank Decompositions Through the Lens of Information Geometry
  Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
• Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models
  Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang
• Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations
  Zhiyuan Wang, Chunlin Feng, Christopher Poon, Lijian Huang, Xingjian Zhao, Yao Ma, Tianfan Fu, Xiao-Yang Liu
• Low-Rank Adaptation with Task-Relevant Feature Enhancement for Fine-tuning Language Models
  Changqun Li, Chaofan Ding, Kexin Luan, Xinhan Di
• Compositionality Unlocks Deep Interpretable Models
  Thomas Dooms, Ward Gauderis, Geraint A. Wiggins, Jose Oramas
• KLay: Accelerating Sparse Arithmetic Circuits
  Jaron Maene, Vincent Derkinderen, Pedro Zuidberg Dos Martires
• On Faster Marginalization with Squared Circuits via Orthonormalization
  Lorenzo Loconte, Antonio Vergari
• Low-rank Finetuning for LLMs is Inherently Unfair
  Saswat Das, Marco Romanelli, Cuong Tran, Bhavya Kailkhura, Ferdinando Fioretto
• Transplanting Knowledge: A Study on Layer-Specific Grafting in LLMs
  Bastien Zimmermann, Matthieu Boussard
• Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
  Juan Pablo Munoz, Jinjie Yuan, Nilesh Jain
• Low Tensor Rank Learning of Neural Dynamics
  Arthur Pellegrino, N Alex Cayco Gajic, Angus Chadwick
• Towards Symmetric Low-Rank Adapters
  Tales Panoutsos Malheiros Lima, Rodrygo Santos, Flavio Figueiredo
• FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation
  Dannong Wang, Daniel Kim, Bo Jin, Xingjian Zhao, Tianfan Fu, Steve Yang, Xiao-Yang Liu
• Stochastic Gradient Descent on Tensors with Missing Data
  Alexander Xue, Deanna Needell, Anna Ma
• Restructuring Tractable Probabilistic Circuits
  Honghua Zhang, Benjie Wang, Marcelo Arenas, Guy Van den Broeck
• A Low-Rank Perspective on Oversmoothing in Graph Neural Networks
  Kaicheng Zhang, Piero Deidda, Desmond Higham, Francesco Tudisco
• Entropy Coding Compression of Tree Tensor Networks
  Rafael Ballester-Ripoll, Roxana Bujack
• Scaling up Probabilistic Circuits via Monarch Transformations
  Honghua Zhang, Benjie Wang, Meihua Dang, Nanyun Peng, Stefano Ermon, Guy Van den Broeck
• Low Rank Adaptations for Effective Machine Unlearning
  Atharv Mittal